A study on the impact of residents' energy usage behavior on heating energy consumption based on smart meter data and surveys.

This study aimed to identify the factors that influence heating energy consumption in residential apartments using smart meter data and surveys. It emphasized the significance of residents' behavior as a key variable. The analysis considered physical and behavioral factors, including external factors, building characteristics, resident demographics, and residents' heating energy consumption behavior. Based on these factors, a model for heating energy consumption was developed. Moreover, the study found that residents' heating energy consumption behavior had a strong explanatory power in both space heating and hot water energy consumption models. Therefore, to achieve accurate prediction and evaluation of energy consumption in the residential sector, future research should thoroughly consider resident characteristics and energy use behavior, taking into account different types of final energy. Furthermore, it is crucial to comprehensively consider residents' characteristics when developing energy-saving policies for buildings, as this will lead to meaningful outcomes. [ABSTRACT FROM AUTHOR]